Hybrid Transient Stability Analysis Solution for Power System Stability Studies

• Author(s): Anionovo Ugochukwu Edebeani ; Dr. Emmanuel C. Ezendiokwelu ; Augustine Nonso Nwoye ; Prof. Josiah C. Onuegbu
• Paper ID: 1703300
• Page: 437-458
• Published Date: 30-03-2022
• Published In: Iconic Research And Engineering Journals
• Publisher: IRE Journals
• e-ISSN: 2456-8880
• Volume/Issue: Volume 5 Issue 9 March-2022

Abstract

Power system transient instability has become inevitable in recent times, due to geometrically increasing electrical energy demand leading to more complex networks. This is of paramount importance to power system utility engineers and other energy players in the industry. In lieu of this, this article carried out a complete survey of power system transient stability methods developed over the past ten decades. The research revealed that, the following methods; the Time Domain Simulation Method (TDSM), Direct Method (DM), and Automatic Learning Method (ALM) have so far been developed. While considering the strength and weakness of each method; hybrid solutions leading to combination of two methods which takes advantage of the merit of each method while evading their corresponding demerits were explored and developed. However, despite the maturity of all the methods developed so far, there is yet to exist a general-purpose transient stability analysis method because they were designed to operate independently. To fill this gap, this research article deployed structural design and algorithmic method to develop a novel Hybrid Transient Stability Analysis Solution (HTSAS) geared at taking advantage of the strength of the three methods so far developed; TDSM, DM, and ALM in conjunction with real-time computing through Supervisory Control and Data Acquisition (SCADA) System. The HTSAS structure was designed and an algorithm developed to illustrate the functionalities expected of the solution. These include, ability to sieve out power system network states, in the form of voltage, current and power delivery through the SCADA interface, parallel computation between TDSM//DM and seamless data storage to the associated database. The generated database is made available to the ALM module automatically, which then analyses them and produce accurate controllability and stability margins. This solution represents the first attempt to combine and synchronize TDSM, DM and ALM operations in a single solution. The programming languages used for the HTSAS development is web 3.0 languages which is a universal platforms that powers platform independent and mobile friendly solutions. The developed solution was tested in the laboratory using power system assembly which supplied current, voltage and power to the solution. The solution computed network parameters state and stored same with the associated data file in the control database. The output of the HTSAS unit was found to learn the pattern of network state variation and thus able to develop the necessary actuation signal required by the control unit. Given these results and further future refinement and adaptation, this solution is envisaged to be a general-purpose transient stability analysis solution.

Keywords

Hybrid Transient Stability Analysis Solution, parallel computation, seamless data storage, database, real-time computing, software algorithm.

Citations

IRE Journals:
Anionovo Ugochukwu Edebeani , Dr. Emmanuel C. Ezendiokwelu , Augustine Nonso Nwoye , Prof. Josiah C. Onuegbu "Hybrid Transient Stability Analysis Solution for Power System Stability Studies" Iconic Research And Engineering Journals Volume 5 Issue 9 2022 Page 437-458

IEEE:
Anionovo Ugochukwu Edebeani , Dr. Emmanuel C. Ezendiokwelu , Augustine Nonso Nwoye , Prof. Josiah C. Onuegbu "Hybrid Transient Stability Analysis Solution for Power System Stability Studies" Iconic Research And Engineering Journals, 5(9)